At a Glance: The Goal of OmicsLogic Workshop is to provide students/researchers training in bioinformatics, enabling independent research ... A Department of Medicine Grand Rounds presented by Bethany Percha, PhD, Assistant Professor of Medicine and Genetics ...

High Throughput Machine Learning From Ehr Data -

The Goal of OmicsLogic Workshop is to provide students/researchers training in bioinformatics, enabling independent research ... A Department of Medicine Grand Rounds presented by Bethany Percha, PhD, Assistant Professor of Medicine and Genetics ... August 5, 2022 Dissertation Defense by: Wei-Chun Lin PhD Candidate DMICE – OHSU *recording may contain some audio ...

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  • The Goal of OmicsLogic Workshop is to provide students/researchers training in bioinformatics, enabling independent research ...
  • A Department of Medicine Grand Rounds presented by Bethany Percha, PhD, Assistant Professor of Medicine and Genetics ...
  • August 5, 2022 Dissertation Defense by: Wei-Chun Lin PhD Candidate DMICE – OHSU *recording may contain some audio ...
  • A combined deep neural network (DNN) and conditional Generative Adversarial Network (cGAN) can leverage a
  • Talk to CMU AI Seminar (Fall 2024) on developing and evaluating foundation models for structured

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High-Throughput Machine Learning from EHR Data
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High-Throughput Machine Learning from EHR Data

High-Throughput Machine Learning from EHR Data

Read more details and related context about High-Throughput Machine Learning from EHR Data.

Leveraging high-throughput screening data & neural networks to advance predictive toxicology - Green

Leveraging high-throughput screening data & neural networks to advance predictive toxicology - Green

A combined deep neural network (DNN) and conditional Generative Adversarial Network (cGAN) can leverage a

Foundation Models for Structured EHR Data (Talk to CMU)

Foundation Models for Structured EHR Data (Talk to CMU)

Talk to CMU AI Seminar (Fall 2024) on developing and evaluating foundation models for structured

"Application of Machine Learning for Glaucoma Surgical Outcomes Using EHR Data"

"Application of Machine Learning for Glaucoma Surgical Outcomes Using EHR Data"

August 5, 2022 Dissertation Defense by: Wei-Chun Lin PhD Candidate DMICE – OHSU *recording may contain some audio ...

Lecture 3.0.5: Tabular EHR feature engineering & temporal windows

Lecture 3.0.5: Tabular EHR feature engineering & temporal windows

Read more details and related context about Lecture 3.0.5: Tabular EHR feature engineering & temporal windows.

ML for Medical Text and EHR - Medical concept representation learning series

ML for Medical Text and EHR - Medical concept representation learning series

Read more details and related context about ML for Medical Text and EHR - Medical concept representation learning series.

Machine learning & Statistics: Processing High-Throughput Data

Machine learning & Statistics: Processing High-Throughput Data

The Goal of OmicsLogic Workshop is to provide students/researchers training in bioinformatics, enabling independent research ...

Rapid Machine Learning-Based Phenotyping from the Electronic Health Record

Rapid Machine Learning-Based Phenotyping from the Electronic Health Record

A Department of Medicine Grand Rounds presented by Bethany Percha, PhD, Assistant Professor of Medicine and Genetics ...

Harmonizing EHR Data via Automated Translation of Medical Concepts | Xu Shi, PhD | Aug 19, 2020

Harmonizing EHR Data via Automated Translation of Medical Concepts | Xu Shi, PhD | Aug 19, 2020

Read more details and related context about Harmonizing EHR Data via Automated Translation of Medical Concepts | Xu Shi, PhD | Aug 19, 2020.

Bioinformatics for getting EHR data AI-ready for clinical rheumatology research

Bioinformatics for getting EHR data AI-ready for clinical rheumatology research

Read more details and related context about Bioinformatics for getting EHR data AI-ready for clinical rheumatology research.